Brian R. Hunt
According to our database1,
Brian R. Hunt
authored at least 15 papers
between 2004 and 2024.
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Bibliography
2024
Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing.
Neural Networks, 2024
Exploring the Potential of Hybrid Machine-Learning/Physics-Based Modeling for Atmospheric/Oceanic Prediction Beyond the Medium Range.
CoRR, 2024
2022
Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization.
CoRR, 2022
2021
Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components.
CoRR, 2021
2020
Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics.
Neural Networks, 2020
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems.
CoRR, 2020
2019
Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms.
CoRR, 2019
2018
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model.
CoRR, 2018
2015
Absolute Continuity of a Function and Uniform Integrability of Its Divided Differences.
Am. Math. Mon., 2015
2009
Int. J. Bifurc. Chaos, 2009
2004